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Thinking-understanding approach in spiking reasoning system

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dc.date.accessioned 2019-01-22T20:56:59Z
dc.date.available 2019-01-22T20:56:59Z
dc.date.issued 2018
dc.identifier.issn 2190-3018
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/149575
dc.description.abstract © Springer International Publishing AG 2018. In this position paper we propose the approach to use “Thinking-Understanding” architecture for the management of the real-time operated robotic system. Based on the “Robot dream” architecture, the robotic system digital input is been translated in form of “pseudo-spikes” and provided to a simulated spiking neural network, then elaborated and fed back to a robotic system as updated behavioural strategy rules. We present the reasoning rule-based system for intelligent spike processing translating spikes into software actions or hardware signals is thus specified. The reasoning is based on pattern matching mechanisms that activates critics that in their turn activates other critics or ways to think inherited from the work of Marvin Minsky “The emotion machine” [7].
dc.relation.ispartofseries Smart Innovation, Systems and Technologies
dc.subject Affective computing
dc.subject Artificial emotions
dc.subject Spiking neural networks
dc.title Thinking-understanding approach in spiking reasoning system
dc.type Conference Paper
dc.relation.ispartofseries-volume 74
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 171
dc.source.id SCOPUS21903018-2018-74-SID85020481767


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  • Публикации сотрудников КФУ Scopus [22633]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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